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Official releases

v0.1.9 (2024-06-06)

  • Add initial support for a likelihoods JSON entry (via the DataLikelihoodList template class). The current use-case is to reference an ImagingDataLikelihood that holds the likelihood mask information (stored in a FITS file).
  • Various bug fixes.

v0.1.8 (2024-04-17)

  • Minor improvements to PyPI release
  • Tested Python version increased to 3.11
  • Minimal version of lenstronomy (used for shapelets light profile) increased to 1.11.7

v0.1.3 (2024-04-17)

  • First release to PyPI
  • Add support for a ConvergenceSheet mass profile to both coolest.template and coolest.api
  • Various fixes

v0.1.0 (2023-08-02)

  • Version corresponding to the JOSS publication

Older changes

2023-05-04

  • The ExternalShear object has been replaced ba a more general MassField object. This is for supporting higher-order lensing fields such as flexion in the future. The two supported types of LensingEntity are thus Galaxy and MassField.

  • The type of lensing entity now reflects their class name. For instance, before it was 'galaxy', now it is 'Galaxy'.

  • The single parameter of the GaussianPSF has changed from the standard deviation std_dev to the more widely used full width at half maximum fwhm.

2022-10-14

Major changes:

  • the path to submodules changed: coolest.template.api is now coolest.template.classes. This is because the API will now be formally containing analysis tools (in the future coolest.api submodule)
  • a single PixelatedRegularGrid class is now used for the observation image data, pixelated PSF, and pixelated light and mass profiles

Minor changes:

  • reorganized the repository structure, coolest is now at the root
  • the example of template generation is now in the examples directory
  • a 'DOC' mode has been added to the root COOLEST class (for usage with the documentation website, see separate repository)

2022-06-02

Major changes

These affect the template structure:

  • hierachy levels 'lens_sample', 'lens_object' and 'lens_model' jave been removed; 'lensing_entities' is the relevant field now for model choices.
  • the 'origin' is at the root level

Standard changes:

  • the PSF can now be either a GaussianPSF, or a PixelatedPSF
  • the noise can now be one of the following choices: UniformGaussianNoise, NoiseMap, NoiseRealization, InstrumentalNoise, DrizzledNoise
  • the FitsFile object is now more explicit, renamed PixelFitsFile and containing number of pixels and pixel size

Minor changes:

  • renaming of classes
  • COOLEST standard now supports two distinct modes: 'MAP' to store model results, and 'MOCK' for simulating an observation

2022-05-31

Major changes

Theese affect the template structure:

  • new field: 'lensing_entity'

    • a list of either 'galaxy'-type objects or 'external_shear'-type objects
    • each have a redshift, a name, etc... but 'external_shear' items can not have light profiles

  • 'light_model' and 'mass_model' are now themselves list of profiles: there is no sub-field 'profiles' anymore

  • 'lens_object' and 'lens_sample' have been removed. It means that ONE coolest template is related ONE lens system

  • 'cosmology' is now outside of 'lens_model'

Standard changes

  • new field: 'instrument'

    • with optional 'image' fits file; if not provided, the 'mode' should be 'mock' (automatic via the API)
    • with 'noise' sub-fields, optionally with a 'noise_map', option for including Poisson noise or not

  • new field: 'observation'

    • with 'psf' sub-fields, as a fits file for the psf kernel and potentially different pixel size

Minor changes:

  • new field: 'meta'

    • for more flexbility for storing metadata, e.g. the name and version of the modeling code used to update/read the file
    • for now it contains one sub-field: the 'mode' is set 'mock' if the coolest file is used for mocking, or 'model' if used to store modeling results

  • new field: 'standard'

    • defines more explicitely the standard system: 'coolest'

  • many descriptive fields have been removed by default, as set in the CoolestStandard module (python class attributes were not removed though)